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Описание на предложението за работа

A.P. Møller - Mærsk A/S (Maersk Drilling)

Lyngby-Taarbæk, 1 stilling

Lyngby / Local / IT / Ref.: MD-074734



Maersk Drilling is looking for a Data Scientist to be responsible for Advanced Analytics across all domains in the organization, including Operations, Commercial, HR, Equipment Reliability, Finance and Safety.



The Data Scientist will extract, transform, and combine incoming data – for example sensor data from our rigs – with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. Working from a broad set of data, you will be working with both statistical models, IT tools as well as information management to solve business critical challenges. What sets the Data Scientist apart is proven business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how the organization approaches a business challenge.







We Offer

We offer a challenging position in an international organization in constant development with the opportunity to further develop your skills. The position provides the chance to play an important role in a strategically important area for Maersk Drilling.



You will be part of the Business Intelligence/Analytics Competence Center in Maersk Drilling IT. You will work in the Maersk Drilling office in Lyngby reporting to the Head of the team.





Key Responsibilities

• Work with others to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues.

• Recommend ways in which Maersk Drilling can apply data to business problems.

• Analyze large-scale data volume to deliver insightful analytics that solve key business problems.

• Develop innovative experimental design and measurement methodologies.

• Innovate new modeling and machine learning approaches.

• Collaborate on compelling new analytical reporting that enable data-driven decision-making.

• Find and interpret data rich sources, merge data together, ensure data consistency.

• Manage large amounts of data within the domain of hardware, software and bandwidth constraints.

• Translate findings into well engineered and easy to maintain data concepts.

• Question existing assumptions and processes.







Who we are looking for

You need to possess analytical and good technical skills, as you will work broad within as well as outside the organization, and with many technically diverse systems.

• A combination of statistical modeling experience and technical, engineering skills.

• Business acumen and a demonstrated ability to use analytics to drive key success metrics.

• Decidedly “hands-on” and not just theoretical.

• An experimental mindset.

• Ability and experience dealing with very granular data, using data storage platforms like Hadoop or similar.

• Ability and experience designing and developing solutions.

• Proven mastery of analytics.

o At least 6 months experience in machine learning models

o At least 1 year experience in Statistical Packages

o At least 6 months experience in programming language (R), R-Studio (or similar)

• Minimum five to seven years professional experience.

• Master degree in relevant field.

• Readiness to travel.

• English: Fluent





For further information, please contact: Jesper Andersen, +45 6336 3286.



maerskdrilling.com Maersk Drilling is a core business unit within the A. P. Moller - Maersk Group, and we are aiming to double our size within the next 5 years. We design, develop and operate a global fleet of advanced drilling rigs using cutting edge technology and know-how. We create value with our customers through a unique service delivery concept where we customize safe, efficient and consistent drilling services. We build our service around our highly skilled and committed work force, our state of the art offshore drilling rigs and our 40 years of experience operating in the most challenging environments. By joining us, you should be prepared for a career that can lead you anywhere.

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За предприятието

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